Architecture before automation. Deterministic AI. Engineered for industrial, construction, and B2B services enterprises.
B2B companies that master commercial excellence deliver twice the revenue growth of their industry peers. The gap between winners and laggards is not product quality or market position — it is the commercial operating model.
Process and people systems must be designed first. Automation comes second. We build the operating model before we deploy the technology that supports it.
Every revenue leader in the market is being pitched fifteen AI tools per week. Every PE operating partner is asking portfolio CEOs what their AI strategy is. The buyer-side experience of this moment is exhausting, and the sophisticated buyers know what most vendors will not say: a great AI sitting on top of a broken commercial process produces faster, more confident, more automated wrong answers.
We are the firm that designs the operating model first, then deploys the technology that enforces it. We will tell you when the answer is not technology.
"Architecture before automation" is not a tagline. It is the worldview that shapes our methodology, our engagement sequencing, and the conversations we have with clients.
The discipline of engineering how leads, opportunities, and accounts move through a commercial system - so the system produces revenue with the same repeatability and predictability that operations teams produce output. Sequencing is everything: architecture in Phases 1 and 2, automation in Phases 3 and 4. The order is the value.
Diagnose and quantify the commercial system. Where is the pipeline leaking value? Where is the forecast unreliable? Where is the operating model breaking?
Redesign the operating model. Process, roles, definitions, governance. A quantified business case for what fixing it produces.
Technology deployed on top of the redesigned model. CRM configuration, the Inselligence platform, AI enablement.
The executive cadence - pipeline reviews, forecast reviews, capacity reviews - that turns the new system into management discipline.
What our buyers experience as ambient frustration, research has now quantified with powerful statistics.
B2B manufacturing companies lose up to 37% of annual revenue to commercial inefficiency. For a $500M company, that is up to$185M leaving through preventable gaps in pricing, pipeline, and process.
Up to 17% of annual margin — the profit your business actually keeps — erodes through the same commercial gaps. Revenue is a vanity metric if margin is leaking.
The average B2B sales organization achieves only 43% of its annual quota. That means more than half of your targeted revenue never materializes — not because the market isn't there, but because the commercial engine isn't built to capture it.'
Traditional data-quality controls are not closing the gap. Pressuring sellers makes it worse. The problem is architectural.
Source: Zilliant Global B2B Benchmark Report 2024; RepVue Cloud Sales Index 2024 Forrester Research.
Project-based, relationship-driven B2B selling. Long cycles, multi-stakeholder buying, significant pre-sale technical or proposal effort. These industries share the same commercial complexity - and the existing RevOps consulting world does not speak their language.
Multi-segment industrial enterprises with territory-based distribution, producer networks, and specifier-influenced sales cycles. Operating models calibrated to segment-level visibility and the architectural patterns industrial revenue functions exhibit.
Learn more about our Industrial practice →Multi-segment commercial construction firms with project-pipeline selling, multi-segment operating models, and proposal-to-close cycles measured in months. Operating models calibrated to project-based selling dynamics.
Learn more about our Construction practice →Multi-service B2B firms with recurring relationships, proposal-to-close discipline, and service-category complexity. Operating models calibrated to the dual reality of recurring service revenue and new-business pursuit.
Learn more about our B2B Services practice →The Inselligence Platform sustains what the methodology builds. Forecast accuracy. Pipeline health. Capacity planning. Revenue flow visibility. The platform is what architected commercial system durable — and what makes the agentic AI layer that runs on it economically viable.
Explainable math, not hallucinated summaries. Connects natively to eight major CRMs — Salesforce, HubSpot, Microsoft Dynamics, and others. Patent-pending algorithms with thirty years of technical lineage.
A complimentary, senior-led, technology-driven preview of your commercial system. We connect to your CRM, run our deterministic AI against your pipeline, and deliver a 48-hour executive readout that flags the most material flow issues we see.
The Snapshot is not a sales call. It is a credentialed analytical exercise that earns the right to a deeper conversation — or doesn't.